Loading…

Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso

Numerical simulations employing prognostic stable water isotopes can not only facilitate our understanding of hydrological processes and climate change but also allow for a direct comparison between isotope signals obtained from models and various archives. In the current work, we describe the perfo...

Full description

Saved in:
Bibliographic Details
Published in:Geoscientific Model Development 2023-09, Vol.16 (17), p.5153-5178
Main Authors: Shi, Xiaoxu, Cauquoin, Alexandre, Lohmann, Gerrit, Jonkers, Lukas, Wang, Qiang, Yang, Hu, Sun, Yuchen, Werner, Martin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c433t-3c060848cd45de09e946b3a1e3c45e1561793d9a3e557a801c7b0bfc22825be93
container_end_page 5178
container_issue 17
container_start_page 5153
container_title Geoscientific Model Development
container_volume 16
creator Shi, Xiaoxu
Cauquoin, Alexandre
Lohmann, Gerrit
Jonkers, Lukas
Wang, Qiang
Yang, Hu
Sun, Yuchen
Werner, Martin
description Numerical simulations employing prognostic stable water isotopes can not only facilitate our understanding of hydrological processes and climate change but also allow for a direct comparison between isotope signals obtained from models and various archives. In the current work, we describe the performance and explore the potential of a new version of the Earth system model AWI-ESM (Alfred Wegener Institute Earth System Model), labeled AWI-ESM-2.1-wiso, in which we incorporated three isotope tracers into all relevant components of the water cycle. We present here the results of pre-industrial (PI) and mid-Holocene (MH) simulations. The model reproduces the observed PI isotope compositions in both precipitation and seawater well and captures their major differences from the MH conditions. The simulated relationship between the isotope composition in precipitation (δ18Op) and surface air temperature is very similar between the PI and MH conditions, and it is largely consistent with modern observations despite some regional model biases. The ratio of the MH–PI difference in δ18Op to the MH–PI difference in surface air temperature is comparable to proxy records over Greenland and Antarctica only when summertime air temperature is considered. An amount effect is evident over the North African monsoon domain, where a negative correlation between δ18Op and the amount of precipitation is simulated. As an example of model applications, we studied the onset and withdrawal date of the MH West African summer monsoon (WASM) using daily variables. We find that defining the WASM onset based on precipitation alone may yield erroneous results due to the substantial daily variations in precipitation, which may obscure the distinction between pre-monsoon and monsoon seasons. Combining precipitation and isotope indicators, we suggest in this work a novel method for identifying the commencement of the WASM. Moreover, we do not find an obvious difference between the MH and PI periods in terms of the mean onset of the WASM. However, an advancement in the WASM withdrawal is found in the MH compared to the PI period due to an earlier decline in insolation over the northern location of Intertropical Convergence Zone (ITCZ).
doi_str_mv 10.5194/gmd-16-5153-2023
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2862003515</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A764140588</galeid><doaj_id>oai_doaj_org_article_0c46be5691234ff8b061c35fd04d7665</doaj_id><sourcerecordid>A764140588</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-3c060848cd45de09e946b3a1e3c45e1561793d9a3e557a801c7b0bfc22825be93</originalsourceid><addsrcrecordid>eNptks-L1DAUx4souK7ePQY8eciYND_aHIdldQdWBEfxGNLktWZom5qkrP73po4sDkgOSR6f9-ElfKvqNSU7QRV_N0wOU4kFFQzXpGZPqiuqFMVKEvb0n_Pz6kVKJ0KkamRzVfmjn9bRZHAoZdONgB7KJSKfQg4LJOTW6OcB5e-AJu_wXRiDhRmQmR1aImA_uzXl6M2IFog-uITWtHXsvx3w7fEjrncUPxTdy-pZb8YEr_7u19XX97dfbu7w_acPh5v9PbacsYyZJZK0vLWOCwdEgeKyY4YCs1wAFZI2ijllGAjRmJZQ23Sk621dt7XoQLHr6nD2umBOeol-MvGXDsbrP4UQB21i9nYETWxxg5CK1oz3fdsRSS0TvSPcNVKK4npzdi0x_FghZX0Ka5zL-LpuZU0I2_77kRpMkfq5DzkaO_lk9b6RnHIi2rZQu_9QZTmYvA0z9L7ULxreXjQUJsPPPJg1JX04fr5kyZm1MaQUoX98OCV6y4cu-dBU6m1eveWD_QY4nqpM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2862003515</pqid></control><display><type>article</type><title>Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso</title><source>Publicly Available Content Database</source><creator>Shi, Xiaoxu ; Cauquoin, Alexandre ; Lohmann, Gerrit ; Jonkers, Lukas ; Wang, Qiang ; Yang, Hu ; Sun, Yuchen ; Werner, Martin</creator><creatorcontrib>Shi, Xiaoxu ; Cauquoin, Alexandre ; Lohmann, Gerrit ; Jonkers, Lukas ; Wang, Qiang ; Yang, Hu ; Sun, Yuchen ; Werner, Martin</creatorcontrib><description>Numerical simulations employing prognostic stable water isotopes can not only facilitate our understanding of hydrological processes and climate change but also allow for a direct comparison between isotope signals obtained from models and various archives. In the current work, we describe the performance and explore the potential of a new version of the Earth system model AWI-ESM (Alfred Wegener Institute Earth System Model), labeled AWI-ESM-2.1-wiso, in which we incorporated three isotope tracers into all relevant components of the water cycle. We present here the results of pre-industrial (PI) and mid-Holocene (MH) simulations. The model reproduces the observed PI isotope compositions in both precipitation and seawater well and captures their major differences from the MH conditions. The simulated relationship between the isotope composition in precipitation (δ18Op) and surface air temperature is very similar between the PI and MH conditions, and it is largely consistent with modern observations despite some regional model biases. The ratio of the MH–PI difference in δ18Op to the MH–PI difference in surface air temperature is comparable to proxy records over Greenland and Antarctica only when summertime air temperature is considered. An amount effect is evident over the North African monsoon domain, where a negative correlation between δ18Op and the amount of precipitation is simulated. As an example of model applications, we studied the onset and withdrawal date of the MH West African summer monsoon (WASM) using daily variables. We find that defining the WASM onset based on precipitation alone may yield erroneous results due to the substantial daily variations in precipitation, which may obscure the distinction between pre-monsoon and monsoon seasons. Combining precipitation and isotope indicators, we suggest in this work a novel method for identifying the commencement of the WASM. Moreover, we do not find an obvious difference between the MH and PI periods in terms of the mean onset of the WASM. However, an advancement in the WASM withdrawal is found in the MH compared to the PI period due to an earlier decline in insolation over the northern location of Intertropical Convergence Zone (ITCZ).</description><identifier>ISSN: 1991-9603</identifier><identifier>ISSN: 1991-959X</identifier><identifier>ISSN: 1991-962X</identifier><identifier>EISSN: 1991-9603</identifier><identifier>EISSN: 1991-962X</identifier><identifier>DOI: 10.5194/gmd-16-5153-2023</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>African monsoon ; Air temperature ; Analysis ; Archives &amp; records ; Boundary conditions ; Climate change ; Convergence zones ; Diurnal variations ; General circulation models ; Greenhouse gases ; Holocene ; Hydrologic cycle ; Hydrologic processes ; Hydrological cycle ; Hydrology ; Intertropical convergence zone ; Isotope composition ; Isotopes ; Mathematical models ; Modelling ; Monsoons ; Numerical analysis ; Numerical simulations ; Paleogeography ; Phase transitions ; Precipitation ; Precipitation (Meteorology) ; Precipitation variability ; Precipitation variations ; Seawater ; Simulation ; Summer ; Summer monsoon ; Surface temperature ; Surface-air temperature relationships ; Temperature effects ; Tracers ; Tracers (Chemistry) ; Wind</subject><ispartof>Geoscientific Model Development, 2023-09, Vol.16 (17), p.5153-5178</ispartof><rights>COPYRIGHT 2023 Copernicus GmbH</rights><rights>2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c433t-3c060848cd45de09e946b3a1e3c45e1561793d9a3e557a801c7b0bfc22825be93</cites><orcidid>0000-0002-2704-5394 ; 0000-0002-0253-2639 ; 0000-0002-6473-0243 ; 0000-0003-2089-733X ; 0000-0003-2054-2256 ; 0000-0002-2449-8718 ; 0000-0002-4620-4696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2862003515/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2862003515?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>315,786,790,25783,27957,27958,37047,44625,75483</link.rule.ids></links><search><creatorcontrib>Shi, Xiaoxu</creatorcontrib><creatorcontrib>Cauquoin, Alexandre</creatorcontrib><creatorcontrib>Lohmann, Gerrit</creatorcontrib><creatorcontrib>Jonkers, Lukas</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Yang, Hu</creatorcontrib><creatorcontrib>Sun, Yuchen</creatorcontrib><creatorcontrib>Werner, Martin</creatorcontrib><title>Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso</title><title>Geoscientific Model Development</title><description>Numerical simulations employing prognostic stable water isotopes can not only facilitate our understanding of hydrological processes and climate change but also allow for a direct comparison between isotope signals obtained from models and various archives. In the current work, we describe the performance and explore the potential of a new version of the Earth system model AWI-ESM (Alfred Wegener Institute Earth System Model), labeled AWI-ESM-2.1-wiso, in which we incorporated three isotope tracers into all relevant components of the water cycle. We present here the results of pre-industrial (PI) and mid-Holocene (MH) simulations. The model reproduces the observed PI isotope compositions in both precipitation and seawater well and captures their major differences from the MH conditions. The simulated relationship between the isotope composition in precipitation (δ18Op) and surface air temperature is very similar between the PI and MH conditions, and it is largely consistent with modern observations despite some regional model biases. The ratio of the MH–PI difference in δ18Op to the MH–PI difference in surface air temperature is comparable to proxy records over Greenland and Antarctica only when summertime air temperature is considered. An amount effect is evident over the North African monsoon domain, where a negative correlation between δ18Op and the amount of precipitation is simulated. As an example of model applications, we studied the onset and withdrawal date of the MH West African summer monsoon (WASM) using daily variables. We find that defining the WASM onset based on precipitation alone may yield erroneous results due to the substantial daily variations in precipitation, which may obscure the distinction between pre-monsoon and monsoon seasons. Combining precipitation and isotope indicators, we suggest in this work a novel method for identifying the commencement of the WASM. Moreover, we do not find an obvious difference between the MH and PI periods in terms of the mean onset of the WASM. However, an advancement in the WASM withdrawal is found in the MH compared to the PI period due to an earlier decline in insolation over the northern location of Intertropical Convergence Zone (ITCZ).</description><subject>African monsoon</subject><subject>Air temperature</subject><subject>Analysis</subject><subject>Archives &amp; records</subject><subject>Boundary conditions</subject><subject>Climate change</subject><subject>Convergence zones</subject><subject>Diurnal variations</subject><subject>General circulation models</subject><subject>Greenhouse gases</subject><subject>Holocene</subject><subject>Hydrologic cycle</subject><subject>Hydrologic processes</subject><subject>Hydrological cycle</subject><subject>Hydrology</subject><subject>Intertropical convergence zone</subject><subject>Isotope composition</subject><subject>Isotopes</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Monsoons</subject><subject>Numerical analysis</subject><subject>Numerical simulations</subject><subject>Paleogeography</subject><subject>Phase transitions</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Precipitation variability</subject><subject>Precipitation variations</subject><subject>Seawater</subject><subject>Simulation</subject><subject>Summer</subject><subject>Summer monsoon</subject><subject>Surface temperature</subject><subject>Surface-air temperature relationships</subject><subject>Temperature effects</subject><subject>Tracers</subject><subject>Tracers (Chemistry)</subject><subject>Wind</subject><issn>1991-9603</issn><issn>1991-959X</issn><issn>1991-962X</issn><issn>1991-9603</issn><issn>1991-962X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks-L1DAUx4souK7ePQY8eciYND_aHIdldQdWBEfxGNLktWZom5qkrP73po4sDkgOSR6f9-ElfKvqNSU7QRV_N0wOU4kFFQzXpGZPqiuqFMVKEvb0n_Pz6kVKJ0KkamRzVfmjn9bRZHAoZdONgB7KJSKfQg4LJOTW6OcB5e-AJu_wXRiDhRmQmR1aImA_uzXl6M2IFog-uITWtHXsvx3w7fEjrncUPxTdy-pZb8YEr_7u19XX97dfbu7w_acPh5v9PbacsYyZJZK0vLWOCwdEgeKyY4YCs1wAFZI2ijllGAjRmJZQ23Sk621dt7XoQLHr6nD2umBOeol-MvGXDsbrP4UQB21i9nYETWxxg5CK1oz3fdsRSS0TvSPcNVKK4npzdi0x_FghZX0Ka5zL-LpuZU0I2_77kRpMkfq5DzkaO_lk9b6RnHIi2rZQu_9QZTmYvA0z9L7ULxreXjQUJsPPPJg1JX04fr5kyZm1MaQUoX98OCV6y4cu-dBU6m1eveWD_QY4nqpM</recordid><startdate>20230908</startdate><enddate>20230908</enddate><creator>Shi, Xiaoxu</creator><creator>Cauquoin, Alexandre</creator><creator>Lohmann, Gerrit</creator><creator>Jonkers, Lukas</creator><creator>Wang, Qiang</creator><creator>Yang, Hu</creator><creator>Sun, Yuchen</creator><creator>Werner, Martin</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2704-5394</orcidid><orcidid>https://orcid.org/0000-0002-0253-2639</orcidid><orcidid>https://orcid.org/0000-0002-6473-0243</orcidid><orcidid>https://orcid.org/0000-0003-2089-733X</orcidid><orcidid>https://orcid.org/0000-0003-2054-2256</orcidid><orcidid>https://orcid.org/0000-0002-2449-8718</orcidid><orcidid>https://orcid.org/0000-0002-4620-4696</orcidid></search><sort><creationdate>20230908</creationdate><title>Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso</title><author>Shi, Xiaoxu ; Cauquoin, Alexandre ; Lohmann, Gerrit ; Jonkers, Lukas ; Wang, Qiang ; Yang, Hu ; Sun, Yuchen ; Werner, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-3c060848cd45de09e946b3a1e3c45e1561793d9a3e557a801c7b0bfc22825be93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>African monsoon</topic><topic>Air temperature</topic><topic>Analysis</topic><topic>Archives &amp; records</topic><topic>Boundary conditions</topic><topic>Climate change</topic><topic>Convergence zones</topic><topic>Diurnal variations</topic><topic>General circulation models</topic><topic>Greenhouse gases</topic><topic>Holocene</topic><topic>Hydrologic cycle</topic><topic>Hydrologic processes</topic><topic>Hydrological cycle</topic><topic>Hydrology</topic><topic>Intertropical convergence zone</topic><topic>Isotope composition</topic><topic>Isotopes</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Monsoons</topic><topic>Numerical analysis</topic><topic>Numerical simulations</topic><topic>Paleogeography</topic><topic>Phase transitions</topic><topic>Precipitation</topic><topic>Precipitation (Meteorology)</topic><topic>Precipitation variability</topic><topic>Precipitation variations</topic><topic>Seawater</topic><topic>Simulation</topic><topic>Summer</topic><topic>Summer monsoon</topic><topic>Surface temperature</topic><topic>Surface-air temperature relationships</topic><topic>Temperature effects</topic><topic>Tracers</topic><topic>Tracers (Chemistry)</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Xiaoxu</creatorcontrib><creatorcontrib>Cauquoin, Alexandre</creatorcontrib><creatorcontrib>Lohmann, Gerrit</creatorcontrib><creatorcontrib>Jonkers, Lukas</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Yang, Hu</creatorcontrib><creatorcontrib>Sun, Yuchen</creatorcontrib><creatorcontrib>Werner, Martin</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Engineering Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Geoscientific Model Development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Xiaoxu</au><au>Cauquoin, Alexandre</au><au>Lohmann, Gerrit</au><au>Jonkers, Lukas</au><au>Wang, Qiang</au><au>Yang, Hu</au><au>Sun, Yuchen</au><au>Werner, Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso</atitle><jtitle>Geoscientific Model Development</jtitle><date>2023-09-08</date><risdate>2023</risdate><volume>16</volume><issue>17</issue><spage>5153</spage><epage>5178</epage><pages>5153-5178</pages><issn>1991-9603</issn><issn>1991-959X</issn><issn>1991-962X</issn><eissn>1991-9603</eissn><eissn>1991-962X</eissn><abstract>Numerical simulations employing prognostic stable water isotopes can not only facilitate our understanding of hydrological processes and climate change but also allow for a direct comparison between isotope signals obtained from models and various archives. In the current work, we describe the performance and explore the potential of a new version of the Earth system model AWI-ESM (Alfred Wegener Institute Earth System Model), labeled AWI-ESM-2.1-wiso, in which we incorporated three isotope tracers into all relevant components of the water cycle. We present here the results of pre-industrial (PI) and mid-Holocene (MH) simulations. The model reproduces the observed PI isotope compositions in both precipitation and seawater well and captures their major differences from the MH conditions. The simulated relationship between the isotope composition in precipitation (δ18Op) and surface air temperature is very similar between the PI and MH conditions, and it is largely consistent with modern observations despite some regional model biases. The ratio of the MH–PI difference in δ18Op to the MH–PI difference in surface air temperature is comparable to proxy records over Greenland and Antarctica only when summertime air temperature is considered. An amount effect is evident over the North African monsoon domain, where a negative correlation between δ18Op and the amount of precipitation is simulated. As an example of model applications, we studied the onset and withdrawal date of the MH West African summer monsoon (WASM) using daily variables. We find that defining the WASM onset based on precipitation alone may yield erroneous results due to the substantial daily variations in precipitation, which may obscure the distinction between pre-monsoon and monsoon seasons. Combining precipitation and isotope indicators, we suggest in this work a novel method for identifying the commencement of the WASM. Moreover, we do not find an obvious difference between the MH and PI periods in terms of the mean onset of the WASM. However, an advancement in the WASM withdrawal is found in the MH compared to the PI period due to an earlier decline in insolation over the northern location of Intertropical Convergence Zone (ITCZ).</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/gmd-16-5153-2023</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-2704-5394</orcidid><orcidid>https://orcid.org/0000-0002-0253-2639</orcidid><orcidid>https://orcid.org/0000-0002-6473-0243</orcidid><orcidid>https://orcid.org/0000-0003-2089-733X</orcidid><orcidid>https://orcid.org/0000-0003-2054-2256</orcidid><orcidid>https://orcid.org/0000-0002-2449-8718</orcidid><orcidid>https://orcid.org/0000-0002-4620-4696</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1991-9603
ispartof Geoscientific Model Development, 2023-09, Vol.16 (17), p.5153-5178
issn 1991-9603
1991-959X
1991-962X
1991-9603
1991-962X
language eng
recordid cdi_proquest_journals_2862003515
source Publicly Available Content Database
subjects African monsoon
Air temperature
Analysis
Archives & records
Boundary conditions
Climate change
Convergence zones
Diurnal variations
General circulation models
Greenhouse gases
Holocene
Hydrologic cycle
Hydrologic processes
Hydrological cycle
Hydrology
Intertropical convergence zone
Isotope composition
Isotopes
Mathematical models
Modelling
Monsoons
Numerical analysis
Numerical simulations
Paleogeography
Phase transitions
Precipitation
Precipitation (Meteorology)
Precipitation variability
Precipitation variations
Seawater
Simulation
Summer
Summer monsoon
Surface temperature
Surface-air temperature relationships
Temperature effects
Tracers
Tracers (Chemistry)
Wind
title Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T04%3A35%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Simulated%20stable%20water%20isotopes%20during%20the%20mid-Holocene%20and%20pre-industrial%20periods%20using%20AWI-ESM-2.1-wiso&rft.jtitle=Geoscientific%20Model%20Development&rft.au=Shi,%20Xiaoxu&rft.date=2023-09-08&rft.volume=16&rft.issue=17&rft.spage=5153&rft.epage=5178&rft.pages=5153-5178&rft.issn=1991-9603&rft.eissn=1991-9603&rft_id=info:doi/10.5194/gmd-16-5153-2023&rft_dat=%3Cgale_doaj_%3EA764140588%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c433t-3c060848cd45de09e946b3a1e3c45e1561793d9a3e557a801c7b0bfc22825be93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2862003515&rft_id=info:pmid/&rft_galeid=A764140588&rfr_iscdi=true